Background. Metastasis to vital organs is the cause of death in a large majority of cancer patients. Although it is of eminent clinical importance to understand how systemic disease evolves, metastasis remains one of the least understood aspects of cancer progression. We still do not have the answers to many fundamental questions: Are metastasis founders a random selection of cells from primary tumors in which all cells have essentially equal metastatic ability? Or do specialized metastatic clones evolve, perhaps in intermediate sanctuary spaces like regional lymph nodes, and then proceed to colonize distant body parts? Are metastases formed late in tumor progression, by highly evolved and aggressive clones that are the winners of many years of selection within the primary tumor? Or can metastases already be formed early in tumor development, by less evolved tumor cells? If both scenarios exist, would such ?early? metastases behave differently from ?late? disseminating tumor cells? Method. We have developed a methodology to reconstruct a cancer's evolutionary history with great accuracy. Our method relies on the analysis of insertion/deletion mutations in hypermutable, non-coding polyguanine repeats. The lineage information encoded in these sequences is unusually rich: genotyping of only a few dozen repeats can outperform exome sequencing for phylogenetic reconstruction. Using polyguanine fingerprinting, we have recently shown that regional lymph node metastases are not the source of liver metastases in most colorectal cancers, in contrast to a widely held paradigm.
Aims and Impact. Here, we propose to build upon these results and further elucidate critical events in the evolution of metastatic colorectal cancer. We will determine if lethal distant metastases in the lungs evolve from specialized metastatic clones that reside in the colonic lymph nodes. We have previously established that 65% of liver metastases are seeded directly from the primary tumor, but the anatomy of the gastrointestinal vasculature suggests that this percentage could be significantly lower for other distant metastases. If this hypothesis were confirmed, our understanding of the role of the lymphatics in colorectal cancer would be fundamentally altered. Second, we present preliminary data indicating that distant metastases whose evolutionary trajectory diverged from the primary tumor in early progression stages are considerably less aggressive than metastases that emerge in later stages. We propose to study and confirm this phenomenon in a large patient cohort. The successful outcome will be a simple, cost-effective test to predict long-term survival in a subset of patients with metastatic cancer. Since some patients can survive for years or even decades in spite of metastatic disease, while others die within weeks of diagnosis, such risk stratification would be of substantial benefit to both patients and their care providers.

Public Health Relevance

The evolution of metastasis in colorectal cancer is poorly understood. Fundamental questions regarding the role of lymph node metastases in systemic progression, and the time point of divergence between primary tumor and distant metastases await resolution. Here, we will apply novel genetic approaches to study the evolutionary history of colorectal cancer metastasis in human patients.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Method to Extend Research in Time (MERIT) Award (R37)
Project #
5R37CA225655-03
Application #
9899950
Study Section
Genetic Variation and Evolution Study Section (GVE)
Program Officer
Fingerman, Ian M
Project Start
2018-04-18
Project End
2023-03-31
Budget Start
2020-04-01
Budget End
2021-03-31
Support Year
3
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Massachusetts General Hospital
Department
Type
DUNS #
073130411
City
Boston
State
MA
Country
United States
Zip Code
02114
Dagogo-Jack, Ibiayi; Azzolli, Christopher G; Fintelmann, Florian et al. (2018) Clinical Utility of Rapid EGFR Genotyping in Advanced Lung Cancer. JCO Precis Oncol 2018: